<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>38(6)</volume><submitter>Bhadra K</submitter><funding>University of Geneva</funding><pubmed_abstract>Avoidant/Restrictive Food Intake Disorder (ARFID) is a psychiatric condition characterized by extreme food avoidance and limited food intake, leading to nutritional deficiencies, weight loss, and and/or social impairment. Despite its clinical significance, there is a notable lack of research on the neurobiological basis of ARFID. To address this gap, we examined resting-state EEG brain activity in children and adolescents with ARFID, using microstate analysis to capture spatial configurations associated with large-scale brain networks, offering a novel perspective on brain network abnormalities in this population. Eighteen patients with full/subthreshold ARFID (mean age 12.78 ± 3.57) were compared to 18 age- and sex-matched healthy controls (HC) (mean age 14.56 ± 2.85). EEG data were recor</pubmed_abstract><journal>Brain topography</journal><pagination>73</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12479596</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder (ARFID).</pubmed_title><pmcid>PMC12479596</pmcid><pubmed_authors>Bhadra K</pubmed_authors><pubmed_authors>Janakiram AA</pubmed_authors><pubmed_authors>Huppi PS</pubmed_authors><pubmed_authors>Berchio C</pubmed_authors><pubmed_authors>Marco S</pubmed_authors><pubmed_authors>Micali N</pubmed_authors></additional><is_claimable>false</is_claimable><name>EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder (ARFID).</name><description>Avoidant/Restrictive Food Intake Disorder (ARFID) is a psychiatric condition characterized by extreme food avoidance and limited food intake, leading to nutritional deficiencies, weight loss, and and/or social impairment. Despite its clinical significance, there is a notable lack of research on the neurobiological basis of ARFID. To address this gap, we examined resting-state EEG brain activity in children and adolescents with ARFID, using microstate analysis to capture spatial configurations associated with large-scale brain networks, offering a novel perspective on brain network abnormalities in this population. Eighteen patients with full/subthreshold ARFID (mean age 12.78 ± 3.57) were compared to 18 age- and sex-matched healthy controls (HC) (mean age 14.56 ± 2.85). EEG data were recor</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-06-06T13:36:17.944Z</modification><creation>2026-05-31T03:07:49.079Z</creation></dates><accession>S-EPMC12479596</accession><cross_references><pubmed>41023423</pubmed><doi>10.1007/s10548-025-01149-4</doi></cross_references></HashMap>